Robust Robot Walker: Learning Agile Locomotion over Tiny Traps

S. Takakura, T. Murakami, and K. Ohnishi, “An approach to collision detection and recovery motion in industrial robot,” in 15th Annual conference of IEEE industrial electronics society . IEEE, 1989, pp. 421–426

1989

Earlier work this paper cites.

D. M. Ebert and D. D. Henrich, “Safe human-robot-cooperation: Image-based collision detection for industrial robots,” in IEEE/RSJ international conference on intelligent robots and systems , vol. 2. IEEE, 2002, pp. 1826–1831

2002

Earlier work this paper cites.

S. Morinaga and K. Kosuge, “Collision detection system for manipulator based on adaptive impedance control law,” in 2003 IEEE International Conference on Robotics and Automation (Cat. No. 03CH37422) , vol. 1. IEEE, 2003, pp. 1080–1085

2003

Earlier work this paper cites.

H. Kuntze, C. W. Frey, K. Giesen, and G. Milighetti, “Fault tolerant supervisory control of human interactive robots,” in IFAC Workshop on Advanced Control and Diagnosis, Duisburg, D , 2003

2003

Earlier work this paper cites.

S. Haddadin, A. Albu-Schaffer, and G. Hirzinger, “The role of the robot mass and velocity in physical human-robot interaction-part i: Non-constrained blunt impacts,” in 2008 IEEE International Conference on Robotics and Automation . IEEE, 2008, pp. 1331–1338

2008

Earlier work this paper cites.

S. Haddadin, A. Albu-Schaffer, A. De Luca, and G. Hirzinger, “Collision detection and reaction: A contribution to safe physical human-robot interaction,” in 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2008, pp. 3356–3363

2008

Earlier work this paper cites.

L. Van der Maaten and G. Hinton, “Visualizing data using t-sne.” Journal of machine learning research , vol. 9, no. 11, 2008

2008

Earlier work this paper cites.

S. Parusel, S. Haddadin, and A. Albu-Schäffer, “Modular state-based behavior control for safe human-robot interaction: A lightweight control architecture for a lightweight robot,” in 2011 IEEE International Conference on Robotics and Automation . IEEE, 2011, pp. 4298–4305

2011

Earlier work this paper cites.

E. A. Sisbot and R. Alami, “A human-aware manipulation planner,” IEEE Transactions on Robotics , vol. 28, no. 5, pp. 1045–1057, 2012

2012

Earlier work this paper cites.

K. Simonyan, A. Vedaldi, and A. Zisserman, “Deep inside convolutional networks: Visualising image classification models and saliency maps,” arXiv preprint arXiv:1312.6034 , 2013

Original

2013

Earlier work this paper cites.

S. Golz, C. Osendorfer, and S. Haddadin, “Using tactile sensation for learning contact knowledge: Discriminate collision from physical interaction,” in 2015 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2015, pp. 3788–3794

2015

Earlier work this paper cites.

J. Hwangbo, C. D. Bellicoso, P. Fankhauser, and M. Hutter, “Probabilistic foot contact estimation by fusing information from dynamics and differential/forward kinematics,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2016, pp. 3872–3878

2016

Earlier work this paper cites.

T. Horvat, K. Melo, and A. J. Ijspeert, “Model predictive control based framework for com control of a quadruped robot,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 3372–3378

2017

Earlier work this paper cites.

S. Haddadin, A. De Luca, and A. Albu-Schäffer, “Robot collisions: A survey on detection, isolation, and identification,” IEEE Transactions on Robotics , vol. 33, no. 6, pp. 1292–1312, 2017

2017

Earlier work this paper cites.

J. Vorndamme, M. Schappler, and S. Haddadin, “Collision detection, isolation and identification for humanoids,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 4754–4761

2017

Earlier work this paper cites.

M. Camurri, M. Fallon, S. Bazeille, A. Radulescu, V. Barasuol, D. G. Caldwell, and C. Semini, “Probabilistic contact estimation and impact detection for state estimation of quadruped robots,” IEEE Robotics and Automation Letters , vol. 2, no. 2, pp. 1023–1030, 2017

2017

Cited alongside, same era.

J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, “Proximal policy optimization algorithms,” arXiv preprint arXiv:1707.06347 , 2017

Original

2017

Cited alongside, same era.

N. Heess, D. Tb, S. Sriram, J. Lemmon, J. Merel, G. Wayne, Y. Tassa, T. Erez, Z. Wang, S. Eslami, et al. , “Emergence of locomotion behaviours in rich environments,” arXiv preprint arXiv:1707.02286 , 2017

Original

2017

Cited alongside, same era.

J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter, “Learning agile and dynamic motor skills for legged robots,” Science Robotics , vol. 4, no. 26, p. eaau5872, 2019

2019

Cited alongside, same era.

C. Zhang, N. Rudin, D. Hoeller, and M. Hutter, “Learning agile locomotion on risky terrains,” arXiv preprint arXiv:2311.10484 , 2023

Original

2023

Later among the works it cites.

L. Smith, J. C. Kew, T. Li, L. Luu, X. B. Peng, S. Ha, J. Tan, and S. Levine, “Learning and adapting agile locomotion skills by transferring experience,” arXiv preprint arXiv:2304.09834 , 2023

Original

2023

Later among the works it cites.

J. Wu, G. Xin, C. Qi, and Y. Xue, “Learning robust and agile legged locomotion using adversarial motion priors,” IEEE Robotics and Automation Letters , 2023

2023

Later among the works it cites.

M. Maravgakis, D.-E. Argiropoulos, S. Piperakis, and P. Trahanias, “Probabilistic contact state estimation for legged robots using inertial information,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 12 163–12 169

2023

Later among the works it cites.